Supervised machine learning for automatic classification of in vivo scald and contact burn injuries using the terahertz Portable Handheld Spectral Reflection (PHASR) Scanner

We present an automatic classification strategy for early and accurate assessment of burn injuries using terahertz (THz) time-domain spectroscopic imaging. Burn injuries of different severity grades, representing superficial partial-thickness (SPT), deep partial-thickness (DPT), and full-thickness (...

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Detalles Bibliográficos
Autores principales: Khani, Mahmoud E., Harris, Zachery B., Osman, Omar B., Zhou, Juin W., Chen, Andrew, Singer, Adam J., Arbab, M. Hassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948290/
https://www.ncbi.nlm.nih.gov/pubmed/35332207
http://dx.doi.org/10.1038/s41598-022-08940-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948290/
https://www.ncbi.nlm.nih.gov/pubmed/35332207
http://dx.doi.org/10.1038/s41598-022-08940-4

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